Secure AI agents with Amazon Bedrock AgentCore Identity on Amazon ECS
Amazon just shipped AgentCore Identity as a standalone service. Here's why securing agent access to external APIs matters for production deployments.
Why it matters
AWS is making it easier for enterprises to deploy AI agents securely in production by offering granular identity and access controls across compute platforms (ECS, EKS, Lambda, on-prem). This removes a key operational friction point for agent builders handling external service integrations.
The key facts
9 to knowAmazon Bedrock AgentCore Identity now available as standalone service
Supports Authorization Code Grant (3-legged OAuth) implementation
Works across Amazon ECS, Amazon EKS, AWS Lambda, and on-premises deployments
Includes secure session binding and scoped tokens for external service access
Targets production AI agent security requirements
Supports multiple compute platforms: Amazon ECS, Amazon EKS, AWS Lambda, on-premises
Implements Authorization Code Grant (3-legged OAuth) with secure session binding
Enables scoped tokens for granular access control to external services
Addresses production security requirement for AI agent deployments
Go to the source
AWS Machine Learning Blogaws.amazon.com
Publisher excerpt: AI agents in production require secure access to external services. Amazon Bedrock AgentCore Identity, available as a standalone service, secures how your AI agents access external services whether they run on compute platforms like Amazon ECS, Amazon EKS, AWS Lambda, or on-premises. This post…
